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Delaunay Triangulation Algorithms Useful for Multibeam Echosounding

机译:用于多波束回声的Delaunay三角剖分算法

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摘要

The Delaunay triangulation is a widely appreciated and investigated mathematical model for topographic surface representation. After a brief theoretical description, six possible basic algorithms to construct a Delaunay triangulation are analyzed and properties that can be exploited for multibeam echosounder data processing are investigated. Two concepts will be treated in more depth: the divide-and-conquer construction algorithm and the incremental method. The calculation speed of the divide-and-conquer method makes it an ideal candidate to construct the initial triangulation of multibeam data. Its runtime performance is compared to that of the incremental algorithm to demonstrate this. The algorithm's merge step appears to be useful also in replacing triangulated areas of existing triangulations by new data. The incremental algorithm does not seem an effective construction method but it can easily be adapted to accommodate insertion of individual vertices into an existing triangulation and as such it is useful for editing purposes.
机译:Delaunay三角剖分是用于地形表面表示的广泛赞赏和研究的数学模型。在简要的理论描述之后,分析了构建Delaunay三角剖分的六种可能的基本算法,并研究了可用于数据多波束回波测深的属性。将更深入地处理两个概念:分而治之构造算法和增量方法。分治法的计算速度使其成为构造多光束数据的初始三角剖分的理想选择。将其运行时性能与增量算法的运行时性能进行比较以证明这一点。该算法的合并步骤在用新数据替换现有三角剖分的三角区域中似乎也很有用。增量算法似乎不是一种有效的构造方法,但可以轻松地进行调整,以适应将单个顶点插入到现有的三角剖分中,因此对于编辑目的很有用。

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